The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-18"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "14288689 (up from 14055299 yesterday: 1.66 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "602138 (up from 596518 yesterday: 0.94 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4309154

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.21



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3711413 63698 1.75 1201262 140119 853 0.61 3.78
Brazil 2074860 28532 1.39 761193 78772 921 1.18 3.80
India 1077781 38697 3.72 548922 26816 543 2.07 2.49
Russia 764215 6214 0.82 137436 12228 122 1.01 1.60
South Africa 350879 13285 3.94 219079 4948 144 3.00 1.41
Peru 349500 3963 1.15 73511 12998 199 1.55 3.72
Mexico 338913 7615 2.30 126111 38888 578 1.51 11.47
Chile 328846 2407 0.74 61080 8445 98 1.17 2.57
United Kingdom 295632 829 0.28 -16095 45358 40 0.09 15.34
Iran 271606 2166 0.80 51426 13979 188 1.36 5.15
Pakistan 263496 1579 0.60 60541 5568 46 0.83 2.11
Spain 260255 0 0.00 11786 28420 0 0.00 10.92
Saudi Arabia 248416 2565 1.04 69912 2447 40 1.66 0.99
Italy 244216 249 0.10 4080 35042 14 0.04 14.35
Turkey 218717 918 0.42 22834 5475 17 0.31 2.50
France 211943 0 0.00 12470 30155 0 0.00 14.23
Germany 202426 381 0.19 7968 9091 3 0.03 4.49
Bangladesh 202066 2709 1.36 68088 2581 34 1.33 1.28
Colombia 190700 8560 4.70 106040 6516 228 3.63 3.42
Argentina 122524 3223 2.70 64780 2220 42 1.93 1.81
Canada 111875 316 0.28 6997 8892 8 0.09 7.95
Qatar 106308 410 0.39 12645 154 1 0.65 0.14
Iraq 90220 2049 2.32 46958 3691 75 2.07 4.09
Egypt 87172 698 0.81 23249 4251 63 1.50 4.88
China 85314 0 0.00 571 4644 0 0.00 5.44
Indonesia 84882 1752 2.11 32070 4016 59 1.49 4.73
Sweden 77281 0 0.00 12144 5619 0 0.00 7.27
Ecuador 73382 938 1.29 18808 5282 32 0.61 7.20
Kazakhstan 68703 0 0.00 48384 375 0 0.00 0.55
Belarus 65953 171 0.26 4858 495 4 0.81 0.75
Oman 65504 1311 2.04 28551 308 10 3.36 0.47
Philippines 65304 2303 3.66 30501 1773 113 6.81 2.71
Belgium 63706 207 0.33 2497 9800 0 0.00 15.38
Ukraine 59333 867 1.48 16401 1496 23 1.56 2.52
Kuwait 58904 683 1.17 14513 407 3 0.74 0.69
Bolivia 58138 2036 3.63 27462 2106 57 2.78 3.62
United Arab Emirates 56711 289 0.51 9351 338 1 0.30 0.60
Panama 52261 853 1.66 21603 1071 33 3.18 2.05
Netherlands 51809 127 0.25 1527 6155 -2 -0.03 11.88
Dominican Republic 51519 1406 2.81 20900 971 29 3.08 1.88
Israel 49365 1906 4.02 25944 401 9 2.30 0.81
Portugal 48390 313 0.65 7201 1684 2 0.12 3.48
Singapore 47655 202 0.43 4409 27 0 0.00 0.06
Poland 39746 339 0.86 6032 1618 6 0.37 4.07
Romania 36691 889 2.48 10669 2009 21 1.06 5.48
Nigeria 36107 653 1.84 12030 778 6 0.78 2.15
Bahrain 36004 531 1.50 10737 124 0 0.00 0.34
Afghanistan 35301 72 0.20 4685 1164 17 1.48 3.30
Armenia 34462 461 1.36 10553 631 11 1.77 1.83
Guatemala 33809 0 0.00 17412 1443 0 0.00 4.27
Switzerland 33492 110 0.33 1937 1969 0 0.00 5.88
Honduras 32793 1048 3.30 15786 891 34 3.97 2.72
Azerbaijan 27133 497 1.87 11243 349 8 2.35 1.29
Ghana 27060 488 1.84 10629 145 1 0.69 0.54
Ireland 25750 20 0.08 313 1753 1 0.06 6.81
Japan 24946 842 3.49 6692 986 1 0.10 3.95
Kyrgyzstan 24606 11505 87.82 20093 900 727 420.23 3.66
Algeria 22549 601 2.74 9581 1068 11 1.04 4.74
Moldova 20794 300 1.46 4714 680 5 0.74 3.27
Serbia 20498 389 1.93 6706 461 9 1.99 2.25
Austria 19573 134 0.69 1993 711 0 0.00 3.63
Nepal 17502 57 0.33 5193 40 0 0.00 0.23
Morocco 17015 289 1.73 5138 269 5 1.89 1.58
Uzbekistan 16186 579 3.71 8504 83 4 5.06 0.51
Cameroon 16157 0 0.00 3565 373 0 0.00 2.31
Cote d’Ivoire 13912 216 1.58 4968 91 4 4.60 0.65
Czechia 13855 113 0.82 2557 358 0 0.00 2.58
Korea, South 13745 34 0.25 1030 295 1 0.34 2.15
Denmark 13374 0 0.00 499 611 0 0.00 4.57
Kenya 12750 688 5.70 6939 225 3 1.35 1.76
Australia 11802 361 3.16 4116 122 4 3.39 1.03
El Salvador 11508 301 2.69 5781 324 15 4.85 2.82
Venezuela 11483 292 2.61 6353 110 3 2.80 0.96
Sudan 10682 155 1.47 1425 673 5 0.75 6.30
Costa Rica 10551 582 5.84 7572 54 7 14.89 0.51

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 406305 754 0.19 14382 32478 15 0.05 7.99 20885.89 1669.51 1 in 48
California 380745 7486 2.01 170161 7702 99 1.30 2.02 9636.13 194.93 1 in 104
Florida 337569 10328 3.16 205024 4895 90 1.87 1.45 15717.16 227.91 1 in 64
Texas 327106 9338 2.94 181212 3939 119 3.12 1.20 11281.12 135.85 1 in 89
New Jersey 176814 263 0.15 5941 15699 15 0.10 8.88 19906.58 1767.47 1 in 50
Illinois 161785 1276 0.79 20708 7483 18 0.24 4.63 12767.30 590.52 1 in 78
Arizona 141265 2742 1.98 71141 2730 147 5.69 1.93 18551.15 358.51 1 in 54
Georgia 139880 4688 3.47 64895 3169 37 1.18 2.27 13174.57 298.47 1 in 76
Massachusetts 113238 359 0.32 4795 8419 17 0.20 7.43 16294.40 1211.45 1 in 61
Pennsylvania 104780 701 0.67 15334 7015 11 0.16 6.69 8184.67 547.96 1 in 122
North Carolina 98092 2522 2.64 37280 1648 25 1.54 1.68 9352.71 157.13 1 in 107
Louisiana 88590 0 0.00 33821 3509 0 0.00 3.96 19056.56 754.82 1 in 52
Michigan 81338 745 0.92 11659 6364 9 0.14 7.82 8144.50 637.24 1 in 123
Maryland 77206 835 1.09 10756 3368 9 0.27 4.36 12770.44 557.09 1 in 78
Virginia 76373 940 1.25 15126 2025 12 0.60 2.65 8947.67 237.24 1 in 112
Tennessee 76336 2517 3.41 36164 838 23 2.82 1.10 11171.38 122.64 1 in 90
Ohio 73821 1541 2.13 24366 3132 20 0.64 4.24 6315.37 267.94 1 in 158
South Carolina 67612 1552 2.35 35673 1135 39 3.56 1.68 13131.82 220.44 1 in 76
Alabama 65234 2143 3.40 30151 1286 21 1.66 1.97 13304.41 262.28 1 in 75
Indiana 55654 841 1.53 11079 2820 17 0.61 5.07 8266.81 418.88 1 in 121
Connecticut 47893 0 0.00 1687 4396 0 0.00 9.18 13433.14 1233.00 1 in 74
Washington 46026 959 2.13 14622 1444 10 0.70 3.14 6044.21 189.63 1 in 165
Minnesota 45470 457 1.02 10437 1578 5 0.32 3.47 8062.58 279.81 1 in 124
Mississippi 41846 1017 2.49 16315 1346 14 1.05 3.22 14060.45 452.26 1 in 71
Wisconsin 41485 978 2.41 14199 843 10 1.20 2.03 7125.03 144.78 1 in 140
Colorado 39770 444 1.13 7764 1752 1 0.06 4.41 6906.03 304.23 1 in 145
Iowa 38313 410 1.08 10240 789 4 0.51 2.06 12143.31 250.07 1 in 82
Nevada 34477 1182 3.55 18138 646 9 1.41 1.87 11193.26 209.73 1 in 89
Utah 33332 760 2.33 12704 243 8 3.40 0.73 10396.89 75.80 1 in 96
Missouri 32704 966 3.04 12132 1136 11 0.98 3.47 5328.62 185.09 1 in 188
Arkansas 32533 771 2.43 13223 357 4 1.13 1.10 10780.28 118.30 1 in 93
Oklahoma 25057 917 3.80 12411 451 6 1.35 1.80 6332.37 113.98 1 in 158
Nebraska 22481 120 0.54 3706 301 0 0.00 1.34 11621.64 155.60 1 in 86
Kentucky 22184 579 2.68 7017 667 9 1.37 3.01 4965.45 149.29 1 in 201
Kansas 21693 305 1.43 8076 308 2 0.65 1.42 7446.16 105.72 1 in 134
Rhode Island 17793 0 0.00 1132 990 0 0.00 5.56 16795.97 934.53 1 in 60
New Mexico 16736 280 1.70 5117 569 4 0.71 3.40 7981.58 271.36 1 in 125
Idaho 14303 550 4.00 8981 119 1 0.85 0.83 7981.30 66.40 1 in 125
Oregon 14149 347 2.51 6055 257 3 1.18 1.82 3354.64 60.93 1 in 298
Delaware 13429 92 0.69 2338 523 2 0.38 3.89 13790.82 537.09 1 in 73
Puerto Rico 11453 333 2.99 4387 178 1 0.56 1.55 3586.13 55.73 1 in 279
District of Columbia 11194 79 0.71 978 578 1 0.17 5.16 15861.16 818.99 1 in 63
South Dakota 7862 73 0.94 1236 116 0 0.00 1.48 8887.04 131.12 1 in 113
New Hampshire 6188 23 0.37 471 396 1 0.25 6.40 4550.97 291.24 1 in 220
North Dakota 4907 115 2.40 1449 90 0 0.00 1.83 6439.11 118.10 1 in 155
West Virginia 4894 111 2.32 2112 100 0 0.00 2.04 2738.44 55.96 1 in 365
Maine 3645 9 0.25 491 117 2 1.74 3.21 2711.63 87.04 1 in 369
Montana 2471 105 4.44 1619 37 0 0.00 1.50 2311.99 34.62 1 in 433
Wyoming 2108 39 1.88 716 24 0 0.00 1.14 3642.28 41.47 1 in 275
Alaska 1796 62 3.58 945 18 1 5.88 1.00 2455.08 24.61 1 in 407
Hawaii 1354 20 1.50 482 24 1 4.35 1.77 956.30 16.95 1 in 1046
Vermont 1338 4 0.30 138 56 0 0.00 4.19 2144.27 89.75 1 in 466

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 5069266 406305 8.02 1314687 14382 1.09 260582.93
2 California 6167218 380745 6.17 2304908 170161 7.38 156083.80
3 Florida 2931988 337569 11.51 1102463 205024 18.60 136512.89
4 Texas 2842685 327106 11.51 1119859 181212 16.18 98037.55
5 New Jersey 1781450 176814 9.93 414200 5941 1.43 200564.28
6 Illinois 2213573 161785 7.31 691331 20708 3.00 174684.68
7 Arizona 771991 141265 18.30 277244 71141 25.66 101379.10
8 Georgia 1231806 139880 11.36 441993 64895 14.68 116017.42
9 Massachusetts 1026833 113238 11.03 200491 4795 2.39 147756.32
10 Pennsylvania 1012727 104780 10.35 293646 15334 5.22 79107.00
11 North Carolina 1379143 98092 7.11 524012 37280 7.11 131496.18
12 Louisiana 1043940 88590 8.49 365934 33821 9.24 224561.47
13 Michigan 1456078 81338 5.59 455257 11659 2.56 145799.42
14 Maryland 720986 77206 10.71 207170 10756 5.19 119256.39
15 Virginia 889701 76373 8.58 271775 15126 5.57 104235.14
16 Tennessee 1173652 76336 6.50 425099 36164 8.51 171757.96
17 Ohio 1138436 73821 6.48 393597 24366 6.19 97392.96
18 South Carolina 561993 67612 12.03 210829 35673 16.92 109152.11
19 Alabama 574495 65234 11.36 190469 30151 15.83 117167.72
20 Indiana 614455 55654 9.06 151438 11079 7.32 91270.80
21 Connecticut 629969 47893 7.60 200421 1687 0.84 176695.17
22 Washington 767657 46026 6.00 253229 14622 5.77 100809.95
23 Minnesota 835962 45470 5.44 267055 10437 3.91 148229.88
24 Mississippi 377285 41846 11.09 99964 16315 16.32 126769.53
25 Wisconsin 768742 41485 5.40 222792 14199 6.37 132031.04
26 Colorado 430783 39770 9.23 123200 7764 6.30 74805.13
27 Iowa 403729 38313 9.49 113977 10240 8.98 127961.98
28 Nevada 382537 34477 9.01 119511 18138 15.18 124194.03
29 Utah 456240 33332 7.31 133438 12704 9.52 142310.04
30 Missouri 550876 32704 5.94 195586 12132 6.20 89756.82
31 Arkansas 413005 32533 7.88 129040 13223 10.25 136855.19
32 Oklahoma 475731 25057 5.27 150068 12411 8.27 120226.05
33 Nebraska 231151 22481 9.73 62553 3706 5.92 119494.44
34 Kentucky 490201 22184 4.53 139447 7017 5.03 109721.77
35 Kansas 249353 21693 8.70 81494 8076 9.91 85590.84
36 Rhode Island 179201 17793 9.93 -51307 1132 -2.21 169159.52
37 New Mexico 452298 16736 3.70 131660 5117 3.89 215705.72
38 Idaho 142505 14303 10.04 58449 8981 15.37 79520.00
39 Oregon 330793 14149 4.28 113925 6055 5.31 78429.02
40 Delaware 150757 13429 8.91 46495 2338 5.03 154818.83
42 District of Columbia 144955 11194 7.72 55684 978 1.76 205391.72
43 South Dakota 97247 7862 8.08 19147 1236 6.46 109925.97
44 New Hampshire 141786 6188 4.36 27018 471 1.74 104276.57
45 North Dakota 131515 4907 3.73 28996 1449 5.00 172577.82
46 West Virginia 225511 4894 2.17 60856 2112 3.47 126184.92
47 Maine 134929 3645 2.70 42997 491 1.14 100377.77
48 Montana 131879 2471 1.87 50632 1619 3.20 123392.32
49 Wyoming 44035 2108 4.79 12237 716 5.85 76085.21
50 Alaska 168363 1796 1.07 62782 945 1.51 230147.15
51 Hawaii 102995 1354 1.31 28694 482 1.68 72743.16
52 Vermont 80446 1338 1.66 17723 138 0.78 128922.14

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 310455 9518 3.16 169569 54.62 128730 11854 258 2.22 3.82
Tamil Nadu 170693 4979 3.00 117915 69.08 50297 2481 78 3.25 1.45
Delhi 122793 1211 1.00 103134 83.99 16031 3628 31 0.86 2.95
Karnataka 63772 4120 6.91 23066 36.17 39366 1336 91 7.31 2.09
Andhra Pradesh 49650 5041 11.30 22890 46.10 26118 642 56 9.56 1.29
Uttar Pradesh 49247 2211 4.70 29845 60.60 18256 1146 38 3.43 2.33
Gujarat 48441 965 2.03 34882 72.01 11413 2146 20 0.94 4.43
Telangana 45076 1296 2.96 32438 71.96 12223 415 6 1.47 0.92
West Bengal 42487 2278 5.67 24883 58.57 16492 1112 36 3.35 2.62
Rajasthan 29434 934 3.28 21730 73.83 7145 559 6 1.08 1.90
Bihar 26379 1412 5.66 16597 62.92 9603 179 2 1.13 0.68
Haryana 26164 617 2.42 19793 75.65 6022 349 5 1.45 1.33
Assam 22982 0 0.00 16024 69.72 6893 62 4 6.90 0.27
Madhya Pradesh 22600 837 3.85 15311 67.75 6568 721 15 2.12 3.19
Odisha 17437 736 4.41 12453 71.42 4865 119 7 6.25 0.68
Jammu and Kashmir 13899 701 5.31 7811 56.20 5844 244 8 3.39 1.76
Kerala 12481 821 7.04 5370 43.03 7064 43 2 4.88 0.34
Punjab 10100 308 3.15 6535 64.70 3311 254 8 3.25 2.51
Chhattisgarh 5407 161 3.07 3775 69.82 1608 24 0 0.00 0.44
Jharkhand 5399 14 0.26 2656 49.19 2695 48 0 0.00 0.89
Uttarakhand 4515 239 5.59 3116 69.01 1311 52 0 0.00 1.15
Goa 3657 173 4.97 2218 60.65 1417 22 1 4.76 0.60
Tripura 2891 223 8.36 1735 60.01 1137 5 0 0.00 0.17
Puducherry 1999 109 5.77 1154 57.73 817 28 0 0.00 1.40
Manipur 1911 20 1.06 1235 64.63 676 0 0 NaN 0.00
Himachal Pradesh 1521 64 4.39 1059 69.63 437 10 0 0.00 0.66
Ladakh 1178 19 1.64 1003 85.14 173 2 0 0.00 0.17
Nagaland 988 10 1.02 445 45.04 543 0 0 NaN 0.00
Chandigarh 717 26 3.76 488 68.06 217 12 0 0.00 1.67
Dadra and Nagar Haveli and Daman and Diu 690 37 5.67 450 65.22 228 2 0 0.00 0.29
Arunachal Pradesh 650 0 0.00 274 42.15 373 3 0 0.00 0.46
Meghalaya 450 32 7.66 49 10.89 397 4 2 100.00 0.89
Sikkim 296 10 3.50 90 30.41 193 0 0 NaN 0.00
Mizoram 284 0 0.00 167 58.80 117 0 0 NaN 0.00
Andaman and Nicobar Islands 203 23 12.78 145 71.43 57 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 -163 -100.00 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1195168 95459 88 0.09 7.99 149 22 7255 16788 17.59
Piemonte 465526 31533 3 0.01 6.77 150 6 847 4119 13.06
Emilia-Romagna 573554 29127 40 0.14 5.08 85 8 1234 4274 14.67
Veneto 1111097 19559 34 0.17 1.76 33 2 525 2049 10.48
Toscana 387885 10358 2 0.02 2.67 12 1 314 1129 10.90
Liguria 170650 10070 18 0.18 5.90 28 0 200 1565 15.54
Lazio 384054 8419 20 0.24 2.19 174 9 866 850 10.10
Marche 154887 6812 3 0.04 4.40 2 1 155 987 14.49
P.A. Trento 140283 4884 3 0.06 3.48 0 0 19 405 8.29
Campania 310851 4818 15 0.31 1.55 44 1 287 433 8.99
Puglia 213873 4550 3 0.07 2.13 14 0 72 548 12.04
Friuli Venezia Giulia 224856 3350 4 0.12 1.49 7 0 99 345 10.30
Abruzzo 118745 3335 1 0.03 2.81 15 0 117 468 14.03
Sicilia 247379 3140 4 0.13 1.27 14 0 162 283 9.01
P.A. Bolzano 95499 2683 1 0.04 2.81 6 0 101 292 10.88
Umbria 111045 1456 2 0.14 1.31 6 0 14 80 5.49
Sardegna 97807 1378 1 0.07 1.41 7 0 11 134 9.72
Calabria 109655 1238 7 0.57 1.13 5 0 75 97 7.84
Valle d’Aosta 20104 1196 0 0.00 5.95 2 0 2 146 12.21
Molise 25586 446 0 0.00 1.74 1 0 8 23 5.16
Basilicata 44020 405 0 0.00 0.92 3 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57300 158 0.28 5654 7 0.12 9.87 6711.43 662.24 1 in 149
Ontario 39316 152 0.39 2791 1 0.04 7.10 2672.41 189.71 1 in 374
Alberta 9219 0 0.00 167 0 0.00 1.81 2088.99 37.84 1 in 479
British Columbia 3198 0 0.00 189 0 0.00 5.91 625.72 36.98 1 in 1598
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 941 5 0.53 15 0 0.00 1.59 796.33 12.69 1 in 1256
Manitoba 337 1 0.30 7 0 0.00 2.08 244.64 5.08 1 in 4088
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 168 0 0.00 2 0 0.00 1.19 215.39 2.56 1 in 4643
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 0 0.00 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 1655 10 0.60
Guangdong 1650 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 77 3 3.90
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 11342.95 428.24 1 in 88
Brazil 9913.33 376.36 1 in 101
India 804.91 20.03 1 in 1242
Russia 5288.69 84.62 1 in 189
South Africa 6186.16 87.24 1 in 162
Peru 10864.16 404.04 1 in 92
Mexico 2623.17 300.99 1 in 381
Chile 18218.61 467.87 1 in 55
United Kingdom 4449.61 682.69 1 in 225
Iran 3346.55 172.24 1 in 299
Pakistan 1337.54 28.26 1 in 748
Spain 5577.69 609.09 1 in 179
Saudi Arabia 7541.47 74.29 1 in 133
Italy 4037.96 579.40 1 in 248
Turkey 2706.56 67.75 1 in 369
France 3163.80 450.14 1 in 316
Germany 2445.05 109.81 1 in 409
Bangladesh NA NA 1 in NA
Colombia 3886.28 132.79 1 in 257
Argentina 2767.65 50.15 1 in 361

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 221121 23388 10.58
Los Angeles California 153152 4084 2.67
Cook Illinois 98292 4774 4.86
Maricopa Arizona 93870 1444 1.54
Miami-Dade Florida 81026 1274 1.57
Harris Texas 54782 533 0.97
Nassau New York 42594 2192 5.15
Suffolk New York 42440 1993 4.70
Dallas Texas 40222 523 1.30
Broward Florida 38131 488 1.28
Westchester New York 35503 1437 4.05
Clark Nevada 29304 527 1.80
Orange California 29011 494 1.70
Riverside California 28695 587 2.05
Bexar Texas 28633 251 0.88
Philadelphia Pennsylvania 28196 1665 5.91
Wayne Michigan 25051 2780 11.10
Palm Beach Florida 25045 666 2.66
Middlesex Massachusetts 24809 1944 7.84
San Bernardino California 23566 328 1.39
San Diego California 23114 478 2.07
Hillsborough Florida 23103 234 1.01
Orange Florida 22518 117 0.52
Tarrant Texas 21195 293 1.38
Suffolk Massachusetts 20555 1035 5.04
Prince George’s Maryland 20425 723 3.54
Bergen New Jersey 19979 2034 10.18
Hudson New Jersey 19261 1498 7.78
Essex New Jersey 19105 2093 10.96
Travis Texas 17215 196 1.14
Middlesex New Jersey 17174 1398 8.14
Passaic New Jersey 17167 1237 7.21
Fairfield Connecticut 17069 1395 8.17
Mecklenburg North Carolina 17047 170 1.00
Essex Massachusetts 16710 1140 6.82
Union New Jersey 16546 1344 8.12
Montgomery Maryland 16251 768 4.73
Shelby Tennessee 16224 241 1.49
Salt Lake Utah 16176 136 0.84
Duval Florida 15903 93 0.58
Davidson Tennessee 15711 166 1.06
Milwaukee Wisconsin 15632 411 2.63
Fairfax Virginia 14798 508 3.43
Hennepin Minnesota 14495 801 5.53
Rockland New York 13784 672 4.88
Franklin Ohio 13778 461 3.35
Providence Rhode Island 13674 0 0.00
Oakland Michigan 13329 1114 8.36
Pima Arizona 13270 384 2.89
Gwinnett Georgia 13234 197 1.49
Pinellas Florida 13019 310 2.38
King Washington 12953 637 4.92
Fulton Georgia 12872 339 2.63
Worcester Massachusetts 12802 968 7.56
New Haven Connecticut 12733 1090 8.56
Marion Indiana 12609 706 5.60
Lee Florida 12397 232 1.87
Hartford Connecticut 12046 1403 11.65
Jefferson Louisiana 12030 498 4.14
Out of GA Georgia 11531 63 0.55
District of Columbia District of Columbia 11194 578 5.16
El Paso Texas 11132 179 1.61
Hidalgo Texas 10943 267 2.44
Orange New York 10921 484 4.43
Lake Illinois 10767 433 4.02
Cuyahoga Ohio 10438 414 3.97
DuPage Illinois 10107 497 4.92
Fresno California 9954 100 1.00
Ocean New Jersey 9940 1006 10.12
Norfolk Massachusetts 9658 966 10.00
Monmouth New Jersey 9649 847 8.78
DeKalb Georgia 9597 188 1.96
Baltimore Maryland 9517 509 5.35
Baltimore City Maryland 9284 378 4.07
Orleans Louisiana 9160 544 5.94
Alameda California 9110 162 1.78
Charleston South Carolina 9098 86 0.95
Montgomery Pennsylvania 9091 837 9.21
Yuma Arizona 9086 180 1.98
Yakima Washington 9040 193 2.13
Polk Florida 9030 174 1.93
Plymouth Massachusetts 8868 694 7.83
St. Louis Missouri 8862 610 6.88
Bristol Massachusetts 8653 608 7.03
Wake North Carolina 8628 89 1.03
Douglas Nebraska 8570 110 1.28
Imperial California 8531 161 1.89
Nueces Texas 8407 90 1.07
Jefferson Alabama 8400 183 2.18
Kane Illinois 8345 289 3.46
Denver Colorado 8320 398 4.78
Macomb Michigan 8271 933 11.28
Polk Iowa 8244 189 2.29
Cobb Georgia 8223 263 3.20
Greenville South Carolina 8215 130 1.58
Prince William Virginia 8104 161 1.99
East Baton Rouge Louisiana 8044 284 3.53
Erie New York 8016 657 8.20
Mercer New Jersey 7844 608 7.75
San Joaquin California 7819 83 1.06

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc